应用BP神经网络实现基于等高线图像的CFD地形网格

甘勇; 刘新新; 郑远攀

doi:10.3969/j.issn.2095-476X.2012.06.019

September 2012

Article Contents

GAN Yong, LIU Xin-xin and ZHENG Yuan-pan. Constructing CFD terrain mesh based on contours image by applying BP neural network[J]. Journal of Light Industry, 2012, 27(6): 69-72. doi: 10.3969/j.issn.2095-476X.2012.06.019

Citation: GAN Yong, LIU Xin-xin and ZHENG Yuan-pan. Constructing CFD terrain mesh based on contours image by applying BP neural network[J]. Journal of Light Industry, 2012, 27(6): 69-72. doi: 10.3969/j.issn.2095-476X.2012.06.019 shu

Constructing CFD terrain mesh based on contours image by applying BP neural network

College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China;
Engineering Lab of He'nan Province for Emergency Management Platform Oriented Information Technology, Zhengzhou 450001, China

Received Date: 2012-05-30
Available Online: 2012-09-16

Abstract

Aiming at the problem of huge calculation and poor accuracy when generating the CFD terrain mesh,a method for generating CFD terrain mesh based on the BP neural network was put forward,which put 2D vector matrix as the training sample,generating the BP neural network model.The matrix combines with the methods of scanning digitizing and linear elements extraction.And the model was structured, trained, simulated by Matlab.Based on the method, DEM elevation grid matrix was established by fitting the elevation that is not in contours.And then the 3D terrain mesh is generated in the software Gambit based on the data from the matrix.The example validation showed that applying the method can generate high accuracy and efficient CFD terrain mesh, it is suitable for the CFD simulation applications.
- BP neural network,
- contour image,
- Matlab,
- CFD terrain mesh
References
1. [1]
  杨长强,郑永果,郑作亚.利用B样条实现基于等高线的三维地形图[J].信息技术与信息化,2006,37(1):59.
2. [2]
  郭晓刚,黄先祥,仲启媛.基于辅助线的等高线生成三维地形算法研究[J].系统仿真学报,2011,23(6):1191.
3. [3]
  程雪玲,胡非.复杂地形网格生成研究[J].计算力学学报,2006, 23(3):313.
4. [4]
  EI-Fouly T H M, EI-Saadany E F, Salama M M A. Improved grey predictor rolling models for wind power prediction[J]. IET Generation,Transmission and Distribution, 2007, 1(6):928.
5. [5]
  张文霄.基于PSO优化的BP神经网络股票预测模型[D].哈尔滨:哈尔滨工业大学,2010.
6. [6]
  卢昕昀.基于BP神经网络的超市选址评估研究[D].上海:上海交通大学,2008.
7. [7]
  Louka P, Galanis G, Siebert N, et al.Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering[J].Journal of Wind Engineering and Industrial Aerodynamics,2008,96(12):2348.
8. [8]
  蒋兴恒,朱素蓉.基于Levenberg-Marquardt算法改进BP神经网络的卷烟销量预测模型研究[J].经济与管理,2011,17(5):81.
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沈阳化工大学材料科学与工程学院沈阳 110142

Constructing CFD terrain mesh based on contours image by applying BP neural network

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通讯作者: 陈斌, bchen63@163.com